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  • LT

  • Acquisition and processing of point clouds to support building damage assessment :Powerpoint

    • Authors: Khoshelham, K.;  Advisor: -;  Participants: - (2013)

  • This lecture presents: Why building damage assessment?; Why point clouds?; Acquisition of point clouds; Classification of damaged roofs in aerial point clouds; Classification of damaged roofs in aerial point clouds; What are features of damaged/intact roof segments?; Feature selection; Visual analysis; Structural health monitoring.
  • LA

  • Earth observation for quantifying ecohydrological fluxes & interrelations :A regional case: The Konya Closed Basin, Turkey

    • Authors: Verhoef, W.; Gökmen, M.;  Advisor: -;  Participants: - (2013)

  • Thesis deals with improving the quantification of hydrological fluxes, particularly evapotranspiration, for continuously or seasonally water-stressed regions; presents an integrated method, which combines remote sensing based evapotranspiration and precipitation estimates with available ground data to establish each component of the water balance; presents a regional framework for an integrated and spatio- temporally distributed assessment of human-induced trends in the hydrology and the associated ecological health of a semi-arid basin where both human activities (i.e. agriculture) and natural ecosystems are highly groundwater- dependent; describes an RS-based and quantitative framework for assessing the limits and variations of sustainable water resources and the ecological water ...
  • LT

  • Combining Drupal content management system with OGC web services :Powerpoint

    • Authors: Turdukulov, U.D.; Sodango, T.H.;  Advisor: -;  Participants: - (2013)

  • This lecture presents: CMS and OGC Web Services; Assessment of Some Drupal Modules; System Components tested in Drupal 6.26 version; Mapping Kit Module; The resulting map of the GetMap; The resulting map of the request; Inline map Code.
  • BB

  • A Study toward the Evaluation of ALOS Images for LAI Estimation in Rice Fields

    • Authors: Hashjin, Sh. Sharifi;  Advisor: -;  Participants: - (2013)

  • For expanding and managing agricultural sources, satellite data have a key role in determining required information about different factors in plants Including Leaf Area Index (LAI).This paper has studied the potential of spectral indices in estimating rice canopy LAI in Amol city as one of the main sources of rice production in Iran. Due to its importance in provision of food and calorie of a major portion of population, rice product was chosen for study. A field campaign was conducted when rice was in the max growth stage (late of June). Also, two satellite images from ALOS-AVNIR-2 were used (simultaneous with conducted field works) to extract and determine vegetation indices. Then the Regression between measured data and vegetation indices, derived from combination of different b...
  • LT

  • From cartography to geovisual analytics :Powerpoint

    • Authors: Kraak, M.J.;  Advisor: -;  Participants: - (2013)

  • This lecture presents: From cartography to geovisual analytics; Cartographers and map makers; Beyond geovisualization: visual analytics; Detect the expected and discover the unknown; Working environment for visual exploration; Geovisual analytics.
  • BB

  • Detection and classification of changes in buildings from airborne laser scanning data :ISPRS Workshop laser scanning, 11-13 November 2013, Antalya, Turkey

    • Authors: Gerke, M.;  Advisor: -;  Participants: - (2013)

  • Building change detection serves to investigate illegal buildings. Illegal built or removed structures, especially those concealed among gable roofs such as dormers, are difficult to track among potentially millions of buildings. Nevertheless, they can be efficiently located in changed areas. An approach is proposed to automatically detect and classify changes in buildings from two epochs of Airborne Laser Scanning Data. Both datasets are classified into water, ground, building, vegetation and undefined objects in advance. After generalization of a 3D surface separation map, we verify changes by making rules on the separation map. Changes belonging to buildings are then classified into roof, wall, dormers, vehicles, construction above roof and undefined objects. As the ALS data has ...
  • BB

  • Automated semantic trajectory annotation with indoor point-of-interest visits in urban areas

    • Authors: de By, Rolf A.; de Graaff, Victor;  Advisor: -;  Participants: - (2013)

  • User trajectories contain a wealth of implicit information. The places that people visit, provide us with information about their preferences and needs. Furthermore, it provides us with information about the popularity of places, for example at which time of the year or day these places are frequently visited. The potential for behavioral analysis of trajectories is widely discussed in literature, but all of these methods need a pre-processing step: the geometric trajectory data needs to be transformed into a semantic collection or sequence of visited points-of-interest that is more suitable for data mining. Especially indoor activities in urban areas are challenging to detect from raw trajectory data. In this paper, we propose a new algorithm for the automated detection of visited ...